{"id":"W6926305527","doi":"10.22008/fk2/cs5lka/ljmk7o","title":"w50tfbw1.rtl","year":2022,"lang":"cs","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Apotex Pharmachem (Canada)","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008975797,0.0028402,0.001788002,0.00453314,0.0007617007,0.002836178,0.003105832,0.002996552,0.1569507],"category_scores_gemma":[0.006204296,0.0009598054,0.001366409,0.009340858,0.0005111363,0.00156661,0.001967645,0.001694434,0.2221095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001157015,"about_ca_system_score_gemma":0.001929576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02623434,"about_ca_topic_score_gemma":0.03352554,"domain_scores_codex":[0.9990535,0.0001594708,0.0001144702,0.0003245613,0.0001842278,0.0001637589],"domain_scores_gemma":[0.9982217,0.000583855,0.0001645747,0.000465383,0.0003656127,0.0001988759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005028075,0.00001388674,0.000348021,0.0006009025,0.00002428469,0.0000124309,0.0000146381,0.0002938339,0.00008727272,0.0002834999,0.9969131,0.001357955],"study_design_scores_gemma":[0.0003714693,0.00002277812,0.00237722,0.0002512548,0.00004038051,0.00004215613,0.00007308139,0.0006153721,0.000307882,0.001310186,0.9945585,0.00002971255],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004596605,0.000025761,0.0000332354,0.00002673335,0.000008785509,0.000003512798,0.9992293,0.0003286109,0.0002980471],"genre_scores_gemma":[0.0001966013,0.0000357859,0.0001219922,0.00002346666,0.000003697777,0.00003067585,0.9991608,0.000086714,0.0003403919],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8430493,"threshold_uncertainty_score":0.5250525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03356833641941936,"score_gpt":0.2649448266896365,"score_spread":0.2313764902702172,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}